中国地理科学(英文版) ›› 2010, Vol. 20 ›› Issue (5): 461-470.doi: 10.1007/s11769-010-0420-6

• 论文 • 上一篇    下一篇

Gold Resources Potential Assessment in Eastern Kunlun Mountains of China Combining Weights-of-evidence Model with GIS Spatial Analysis Technique

HE Binbin1, CHEN Cuihua2, LIU Yue2   

  1. 1. Institute of Geo-spatial Information Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China;
    2. College of Geosciences, Chengdu University of Technology, Chengdu 610059, China
  • 收稿日期:2010-01-10 修回日期:2010-06-22 出版日期:2010-09-15 发布日期:2010-09-14
  • 通讯作者: HE Binbin.E-mail:binbinhe@uestc.edu.cn E-mail:binbinhe@uestc.edu.cn
  • 基金资助:

    Under the auspices of National High-tech R & D Program of China(No.2007AA12Z227);National Natural Science Foundation of China(No.40701146)

Gold Resources Potential Assessment in Eastern Kunlun Mountains of China Combining Weights-of-evidence Model with GIS Spatial Analysis Technique

HE Binbin1, CHEN Cuihua2, LIU Yue2   

  1. 1. Institute of Geo-spatial Information Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China;
    2. College of Geosciences, Chengdu University of Technology, Chengdu 610059, China
  • Received:2010-01-10 Revised:2010-06-22 Online:2010-09-15 Published:2010-09-14
  • Supported by:

    Under the auspices of National High-tech R & D Program of China(No.2007AA12Z227);National Natural Science Foundation of China(No.40701146)

摘要:

Resources potential assessment is one of the fields in geosciences,which is able to take great advantage of GIS technology as a substitution of traditional working methods.The gold resources potential in the eastern Kunlun Mountains,Qinghai Province,China was assessed by combining weights-of-evidence model with GIS spatial analysis technique.All the data sets used in this paper were derived from an established multi-source geological spatial database,which contains geological,geophysical,geochemical and remote sensing data.Three multi-class variables,i.e.,structural intersection,Indosinian k-feldspar granite and regional fault,were used in proximity analysis to examine their spatial association with known gold deposits.A prospectivity map was produced by weights-of-evidence model based on seven binary evidential maps,all of which had passed a conditional independence test.The study area was divided into three target zones of high potential,moderate potential and low potential areas,among which high potential areas and moderate potential areas accounted for 20% of the total area and contained 32 of the 43 gold deposits.The results show that the gold resources potential assessment in the eastern Kunlun Mountains has a higher precision.

关键词: weights-of-evidence model, mineral resources potential assessment, eastern Kunlun Mountains, spatial analysis, conditional independence

Abstract:

Resources potential assessment is one of the fields in geosciences,which is able to take great advantage of GIS technology as a substitution of traditional working methods.The gold resources potential in the eastern Kunlun Mountains,Qinghai Province,China was assessed by combining weights-of-evidence model with GIS spatial analysis technique.All the data sets used in this paper were derived from an established multi-source geological spatial database,which contains geological,geophysical,geochemical and remote sensing data.Three multi-class variables,i.e.,structural intersection,Indosinian k-feldspar granite and regional fault,were used in proximity analysis to examine their spatial association with known gold deposits.A prospectivity map was produced by weights-of-evidence model based on seven binary evidential maps,all of which had passed a conditional independence test.The study area was divided into three target zones of high potential,moderate potential and low potential areas,among which high potential areas and moderate potential areas accounted for 20% of the total area and contained 32 of the 43 gold deposits.The results show that the gold resources potential assessment in the eastern Kunlun Mountains has a higher precision.

Key words: weights-of-evidence model, mineral resources potential assessment, eastern Kunlun Mountains, spatial analysis, conditional independence